03424nam 22005895 450 991029905420332120200703072259.03-319-04184-310.1007/978-3-319-04184-1(CKB)3710000000094980(EBL)1697735(OCoLC)875890650(SSID)ssj0001186560(PQKBManifestationID)11777476(PQKBTitleCode)TC0001186560(PQKBWorkID)11218862(PQKB)10523797(MiAaPQ)EBC1697735(DE-He213)978-3-319-04184-1(PPN)177825391(EXLCZ)99371000000009498020140324d2014 u| 0engur|n|---|||||txtccrRobust Subspace Estimation Using Low-Rank Optimization Theory and Applications /by Omar Oreifej, Mubarak Shah1st ed. 2014.Cham :Springer International Publishing :Imprint: Springer,2014.1 online resource (116 p.)The International Series in Video Computing,1571-5205 ;12Description based upon print version of record.3-319-04183-5 Includes bibliographical references.Introduction -- Background and Literature Review -- Seeing Through Water: Underwater Scene Reconstruction -- Simultaneous Turbulence Mitigation and Moving Object Detection -- Action Recognition by Motion Trajectory Decomposition -- Complex Event Recognition Using Constrained Rank Optimization -- Concluding Remarks -- Extended Derivations for Chapter 4.Various fundamental applications in computer vision and machine learning require finding the basis of a certain subspace. Examples of such applications include face detection, motion estimation, and activity recognition. An increasing interest has been recently placed on this area as a result of significant advances in the mathematics of matrix rank optimization. Interestingly, robust subspace estimation can be posed as a low-rank optimization problem, which can be solved efficiently using techniques such as the method of Augmented Lagrange Multiplier. In this book, the authors discuss fundamental formulations and extensions for low-rank optimization-based subspace estimation and representation. By minimizing the rank of the matrix containing observations drawn from images, the authors demonstrate  how to solve four fundamental computer vision problems, including video denosing, background subtraction, motion estimation, and activity recognition.The International Series in Video Computing,1571-5205 ;12Optical data processingComputer Imaging, Vision, Pattern Recognition and Graphicshttps://scigraph.springernature.com/ontologies/product-market-codes/I22005Optical data processing.Computer Imaging, Vision, Pattern Recognition and Graphics.006.37Oreifej Omarauthttp://id.loc.gov/vocabulary/relators/aut904563Shah Mubarakauthttp://id.loc.gov/vocabulary/relators/autMiAaPQMiAaPQMiAaPQBOOK9910299054203321Robust Subspace Estimation Using Low-Rank Optimization2022619UNINA